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")# pip install -U transformers accelerate # 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
Download model.safetensors from hf-tiny-model-private/tiny-random-BloomForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 393 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-BloomForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-BloomForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-BloomForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
393 kB
- Xet hash:
- 08c7681a20b651b2439610d3a0fe1ab0de805b83be7d86dee36c3211b439e133
- Size of remote file:
- 393 kB
- SHA256:
- 1ae1099a35e4295d98ecc4bb9ea45a92e447c0b61a09e3f962a0641d985db184
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