Instructions to use maalbadri/esm2_t6_8M_UR50D-finetuned-localization-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maalbadri/esm2_t6_8M_UR50D-finetuned-localization-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maalbadri/esm2_t6_8M_UR50D-finetuned-localization-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maalbadri/esm2_t6_8M_UR50D-finetuned-localization-small") model = AutoModelForSequenceClassification.from_pretrained("maalbadri/esm2_t6_8M_UR50D-finetuned-localization-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle