Instructions to use hf-tiny-model-private/tiny-random-TransfoXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-TransfoXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-TransfoXLModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-TransfoXLModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-tiny-model-private/tiny-random-TransfoXLModel: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLModel/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-TransfoXLModel/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLModel/resolve/main/tokenizer_config.json
421 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<formula>" | |
| ], | |
| "clean_up_tokenization_spaces": true, | |
| "delimiter": null, | |
| "eos_token": "<eos>", | |
| "language": "en", | |
| "lower_case": false, | |
| "max_size": null, | |
| "min_freq": 0, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "never_split": null, | |
| "special": null, | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "TransfoXLTokenizer", | |
| "unk_token": "<unk>" | |
| } | |