Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-534240/tokenizer_config.json from CLMBR/binding-case-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 295 Bytes
-
https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/0b3ecc78255cf3da5b028ca533b46370c1d40f53/checkpoint-534240/tokenizer_config.json
- Command line
-
hf download hf://CLMBR/binding-case-lstm-2@0b3ecc78255cf3da5b028ca533b46370c1d40f53/checkpoint-534240/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/0b3ecc78255cf3da5b028ca533b46370c1d40f53/checkpoint-534240/tokenizer_config.json
295 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<eos>", | |
| "max_length": null, | |
| "model_max_length": 512, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<pad>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |