Instructions to use hf-internal-testing/tiny-random-FalconForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FalconForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-FalconForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FalconForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-FalconForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FalconForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 233 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FalconForTokenClassification/resolve/refs%2Fpr%2F8/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FalconForTokenClassification@refs/pr/8/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FalconForTokenClassification/resolve/refs%2Fpr%2F8/model.safetensors
233 kB
- Xet hash:
- 40cc27a52b610ac92279de5e661e72e78cf31f16f07c171e00094712485a6d41
- Size of remote file:
- 233 kB
- SHA256:
- 8e8453d742eb8c01fc3da0a1643dab023ba50ed5691e36ab92cb0c1460865e6b
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