Instructions to use itskamran/protbert_model-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itskamran/protbert_model-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="itskamran/protbert_model-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("itskamran/protbert_model-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("itskamran/protbert_model-finetuned-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57b9ac0c817d22a3f6acb66fdc66f15aa5549d340c5900fc1f6f4b22c837ee0a
- Size of remote file:
- 1.68 GB
- SHA256:
- 73799d58f694ca9ae2f3121b0b82d2fe5fde59282d96d0c4f25467fb2d1b0520
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