Instructions to use robot-learning-group47/eval3_resolver_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robot-learning-group47/eval3_resolver_adapter with PEFT:
Task type is invalid.
- Transformers
How to use robot-learning-group47/eval3_resolver_adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robot-learning-group47/eval3_resolver_adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 837 Bytes
f908457 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|im_start|>",
"clean_up_tokenization_spaces": false,
"end_of_utterance_token": "<end_of_utterance>",
"eos_token": "<end_of_utterance>",
"errors": "replace",
"fake_image_token": "<fake_token_around_image>",
"global_image_token": "<global-img>",
"image_token": "<image>",
"is_local": true,
"legacy": false,
"model_max_length": 8192,
"model_specific_special_tokens": {
"end_of_utterance_token": "<end_of_utterance>",
"fake_image_token": "<fake_token_around_image>",
"global_image_token": "<global-img>",
"image_token": "<image>"
},
"pad_token": "<|im_end|>",
"processor_class": "SmolVLMProcessor",
"tokenizer_class": "GPT2Tokenizer",
"truncation_side": "left",
"unk_token": "<|endoftext|>",
"vocab_size": 49152
}
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