Instructions to use mgh6/esm_temp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/esm_temp2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/esm_temp2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/esm_temp2") model = AutoModelForMaskedLM.from_pretrained("mgh6/esm_temp2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
pytorch_model.bin
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runs/Aug04_02-41-18_5e5db534eb38/events.out.tfevents.1691116912.5e5db534eb38.1963.0
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runs/Aug04_02-44-25_5e5db534eb38/events.out.tfevents.1691117068.5e5db534eb38.1963.1
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training_args.bin
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