Instructions to use hf-internal-testing/tiny-random-TransfoXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TransfoXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-TransfoXLModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-TransfoXLModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 419 Bytes
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"additional_special_tokens": [
"<formula>"
],
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"eos_token": "<eos>",
"language": "en",
"lower_case": false,
"max_size": null,
"min_freq": 0,
"model_max_length": 1000000000000000019884624838656,
"name_or_path": "transfo-xl-wt103",
"never_split": null,
"special": null,
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"tokenizer_class": "TransfoXLTokenizer",
"unk_token": "<unk>"
}
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