Instructions to use ericntay/mlm_gh_issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericntay/mlm_gh_issues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ericntay/mlm_gh_issues")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ericntay/mlm_gh_issues") model = AutoModelForMaskedLM.from_pretrained("ericntay/mlm_gh_issues", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad6580efd23399e2a010bb194f5cafc71e12d3cbc8327815241d70449b161d0
- Size of remote file:
- 3.31 kB
- SHA256:
- 76fb389238b3587fd160d7345b90059d5bf0fc64ed26c9ff88af6877eb0ae5f2
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