Instructions to use hf-internal-testing/tiny-random-ModernBertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ModernBertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-ModernBertForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ModernBertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-ModernBertForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-ModernBertForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-ModernBertForSequenceClassification/resolve/a426cb610e1dc138c3967fe95f09e76ceee09693/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-ModernBertForSequenceClassification@a426cb610e1dc138c3967fe95f09e76ceee09693/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-ModernBertForSequenceClassification/resolve/a426cb610e1dc138c3967fe95f09e76ceee09693/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.