Instructions to use MLMvsCLM/1b-mlm20-42k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/1b-mlm20-42k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/1b-mlm20-42k", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/1b-mlm20-42k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config
Verified signatured5c3d22 -
Upload modeling files
Verified signature5c18727 -
Upload modeling files
Verified signature7b5ec7a -
Upload README
Verified signaturea0d216b
-
Add files using upload-large-folder tool
Verified signaturea950f4f -
initial commit
Verified signature94ea0ef