Instructions to use hf-internal-testing/tiny-random-EuroBertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EuroBertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-EuroBertForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-EuroBertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-EuroBertForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-EuroBertForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-EuroBertForSequenceClassification/resolve/346bb644ea323cb406b99a635f60995a5a3ce4ff/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-EuroBertForSequenceClassification@346bb644ea323cb406b99a635f60995a5a3ce4ff/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-EuroBertForSequenceClassification/resolve/346bb644ea323cb406b99a635f60995a5a3ce4ff/tokenizer.json
17.2 MB
- Xet hash:
- 8f08f8da5a447decd58e7d6aa09e49b12fa1be373f37d47da9d0908715273e6c
- Size of remote file:
- 17.2 MB
- SHA256:
- 98d4a1d32152d6cedf85b5e88f3b205106dca1fe72aaab34e0ac13c238421069
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