Instructions to use fredymad/distilbert_noestricto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fredymad/distilbert_noestricto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fredymad/distilbert_noestricto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fredymad/distilbert_noestricto") model = AutoModelForSequenceClassification.from_pretrained("fredymad/distilbert_noestricto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3efe9f379e3707febcb6f930a105b17a629b3bdc9fc11043cf8d15dc13ff38b6
- Size of remote file:
- 268 MB
- SHA256:
- 867f16f39bb37c1a1d93188b85f02f15b33c4a6a05ea82cc50dc86aaeabe72ae
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