Instructions to use isikz/esm1b_multitask_mlm_cls_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isikz/esm1b_multitask_mlm_cls_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="isikz/esm1b_multitask_mlm_cls_ft")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("isikz/esm1b_multitask_mlm_cls_ft") model = AutoModel.from_pretrained("isikz/esm1b_multitask_mlm_cls_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad36c5c85194b542851bb653e37049dffded671baf399fb138531bff1a6e3db2
- Size of remote file:
- 2.61 GB
- SHA256:
- d2906c5ec6083ff262d03911303675e92d7d23ed43314d09003d82c7c55e843d
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