Instructions to use OliverHeine/albert-base-v2_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/albert-base-v2_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/albert-base-v2_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/albert-base-v2_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/albert-base-v2_fold_7") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +34 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"dtype": "float32",
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.3.0",
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"type_vocab_size": 2,
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"use_cache": false,
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"vocab_size": 30005
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47284be79e35fd0e971b1e13f4c89f331f3399cb1f175b57a8f8fad454712b29
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size 46746464
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"eos_token": "[SEP]",
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"is_local": false,
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"keep_accents": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "[SEP]",
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"tokenizer_class": "AlbertTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:99ab6de0e1002b91e41d148fe46a304fbaeee601171b04a14039b86173f069a1
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size 5265
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