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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32474e68622a4b56f6a4eb5fdf98e9e23c92aead0e88d3e6198d9936bce87005
- Size of remote file:
- 16.8 MB
- SHA256:
- f4086054ffa66365d9762179b1cbca44112639758ac1cdee03ca9d0dee625a6c
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