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:
- 9ee83e7fde502eed27b2e383b8cdba4423e8e0e114108de3705c951d5d415eb7
- Size of remote file:
- 5.18 kB
- SHA256:
- 9d898c103541a2f82dd0421583186f40423bc44c778e6805ba34d801a1e04201
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