Instructions to use hf-tiny-model-private/tiny-random-DistilBertForTokenClassification 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-DistilBertForTokenClassification 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-DistilBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-DistilBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 355 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-DistilBertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-DistilBertForTokenClassification@refs/pr/1/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-DistilBertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
355 kB
- Xet hash:
- 42d3553795fd8308ebc2971d8226728e61cfa5dd3c6eb30ce8bd69c8d4ca6ea2
- Size of remote file:
- 355 kB
- SHA256:
- 9e886c0e8e5a865795702d081ba81e8f8500c1ba93b98069878c694ef9718e7d
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