Instructions to use Surpem/Sarden1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Surpem/Sarden1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Surpem/Sarden1")# Load model directly from transformers import Sarden1 model = Sarden1.from_pretrained("Surpem/Sarden1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
55b8a6a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"eos_token": "<|endoftext|>",
"errors": "replace",
"is_local": false,
"local_files_only": false,
"model_max_length": 1024,
"pad_token": "<|endoftext|>",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
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