Instructions to use InstaDeepAI/isoformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/isoformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/isoformer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/isoformer", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b7a4f10120006a0c79a3f3c8e011a31d2fe71e51e9e7106b3abce5208bb3984
- Size of remote file:
- 2.8 GB
- SHA256:
- 31aafb1a40dfad5e24c5f2ceed80816a2c26bda5b596116122f5fec4425f2caa
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