Instructions to use echarlaix/tiny-random-gpt2-torchscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/tiny-random-gpt2-torchscript with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("echarlaix/tiny-random-gpt2-torchscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from echarlaix/tiny-random-gpt2-torchscript: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/echarlaix/tiny-random-gpt2-torchscript/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://echarlaix/tiny-random-gpt2-torchscript/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/echarlaix/tiny-random-gpt2-torchscript/resolve/main/tokenizer_config.json
236 Bytes
| {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"} |