Instructions to use hf-tiny-model-private/tiny-random-BloomForTokenClassification 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-BloomForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-BloomForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BloomForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-BloomForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 321 Bytes
1cfb30f | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"add_prefix_space": false,
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"padding_side": "left",
"special_tokens_map_file": null,
"tokenizer_class": "BloomTokenizer",
"unk_token": "<unk>"
}
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