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:
- eb8431c4c115b4a8dd859f5f3c3a5666e483ab7b80de9b123aabd438502e096d
- Size of remote file:
- 3.58 kB
- SHA256:
- c3b6c0db9d8dfe507bc3c8efc8828749b802c2d68049badbaf177050fea5e9c3
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