Instructions to use itskamran/esm2-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itskamran/esm2-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="itskamran/esm2-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("itskamran/esm2-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("itskamran/esm2-finetuned-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f9d3e7869434eaa68df258016c6915c16f20606b05483e4901a331a4cc2ed2f
- Size of remote file:
- 4.66 kB
- SHA256:
- 438970d2a7a975343e5495f1246e5798c520bc8676cfcca43307c04281723415
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