Instructions to use hf-tiny-model-private/tiny-random-ReformerModel 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-ReformerModel 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-ReformerModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ReformerModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ReformerModel") - Notebooks
- Google Colab
- Kaggle
File size: 254 Bytes
ddd3a9f | 1 2 3 4 5 6 7 8 9 10 11 | {
"additional_special_tokens": [],
"clean_up_tokenization_spaces": true,
"eos_token": "</s>",
"model_max_length": 100,
"sp_model_kwargs": {},
"special_tokens_map_file": null,
"tokenizer_class": "ReformerTokenizer",
"unk_token": "<unk>"
}
|