Instructions to use calmlab/gpt_small_rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calmlab/gpt_small_rm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("calmlab/gpt_small_rm") model = AutoModel.from_pretrained("calmlab/gpt_small_rm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from calmlab/gpt_small_rm: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/calmlab/gpt_small_rm/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://calmlab/gpt_small_rm/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/calmlab/gpt_small_rm/resolve/main/tokenizer_config.json
234 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1024, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |