Instructions to use hf-internal-testing/tiny-random-EuroBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EuroBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-EuroBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-EuroBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-EuroBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-EuroBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-EuroBertForTokenClassification/resolve/main/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-EuroBertForTokenClassification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-EuroBertForTokenClassification/resolve/main/model.safetensors
16.8 MB
- Xet hash:
- 32474e68622a4b56f6a4eb5fdf98e9e23c92aead0e88d3e6198d9936bce87005
- Size of remote file:
- 16.8 MB
- SHA256:
- f4086054ffa66365d9762179b1cbca44112639758ac1cdee03ca9d0dee625a6c
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