Instructions to use hf-tiny-model-private/tiny-random-BlenderbotSmallModel 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-BlenderbotSmallModel 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-BlenderbotSmallModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
d07f463 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"bos_token": "__start__",
"clean_up_tokenization_spaces": true,
"eos_token": "__end__",
"model_max_length": 20,
"pad_token": "__null__",
"special_tokens_map_file": null,
"tokenizer_class": "BlenderbotSmallTokenizer",
"tokenizer_file": null,
"unk_token": "__unk__"
}
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