Instructions to use TuringGame/gpt2-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuringGame/gpt2-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TuringGame/gpt2-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TuringGame/gpt2-classifier") model = AutoModelForSequenceClassification.from_pretrained("TuringGame/gpt2-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from TuringGame/gpt2-classifier: direct link, hf CLI and curl.
- Browser
- Download file 507 Bytes
-
https://huggingface.co/TuringGame/gpt2-classifier/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://TuringGame/gpt2-classifier/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/TuringGame/gpt2-classifier/resolve/main/tokenizer_config.json
507 Bytes
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "50256": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 1024, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |