Instructions to use michaelfeil/ct2fast-pythia-160m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-pythia-160m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-pythia-160m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from michaelfeil/ct2fast-pythia-160m: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/michaelfeil/ct2fast-pythia-160m/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://michaelfeil/ct2fast-pythia-160m/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/michaelfeil/ct2fast-pythia-160m/resolve/main/tokenizer_config.json
396 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "name_or_path": "EleutherAI/gpt-neox-20b", | |
| "special_tokens_map_file": "/admin/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/4e49eadb5d14bd22f314ec3f45b69a87b88c7691/special_tokens_map.json", | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |