Instructions to use isoformer-anonymous/Isoformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isoformer-anonymous/Isoformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="isoformer-anonymous/Isoformer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("isoformer-anonymous/Isoformer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05d0f3f294c03a2125fb9715bc08c6618cb6df8f1d12bb1d3667df124da58cc9
- Size of remote file:
- 2.8 GB
- SHA256:
- c47f035194b8f0f2a240894049c5cf42a2c4cec6ddb9e0c7be3e7b43816b2415
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