Instructions to use henryscheible/gpt2_crows_pairs_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/gpt2_crows_pairs_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/gpt2_crows_pairs_classifieronly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/gpt2_crows_pairs_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/gpt2_crows_pairs_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from henryscheible/gpt2_crows_pairs_classifieronly: direct link, hf CLI and curl.
- Browser
- Download file 255 Bytes
-
https://huggingface.co/henryscheible/gpt2_crows_pairs_classifieronly/resolve/main/tokenizer_config.json
- Command line
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hf download hf://henryscheible/gpt2_crows_pairs_classifieronly/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/henryscheible/gpt2_crows_pairs_classifieronly/resolve/main/tokenizer_config.json
255 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1024, | |
| "name_or_path": "gpt2", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |