Instructions to use hf-internal-testing/tiny-random-MraForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MraForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MraForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-MraForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 179 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MraForTokenClassification/resolve/e88602936af0327bf7cefda8ce32e2c94dcb69b4/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MraForTokenClassification@e88602936af0327bf7cefda8ce32e2c94dcb69b4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-MraForTokenClassification/resolve/e88602936af0327bf7cefda8ce32e2c94dcb69b4/pytorch_model.bin
179 kB
- Xet hash:
- 2f23dc36e8aa2d64209f270d044780d1dba9521f04180d85a52247d77de4a634
- Size of remote file:
- 179 kB
- SHA256:
- 5fd3c46362509b14f7af26d4afe950701fdc99609118725fe064f3f61ebded54
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