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:
- 4d3309ac2da3e38b9607e18d61cc576dff7c94eba36ead860fbbfb736106a6b4
- Size of remote file:
- 438 MB
- SHA256:
- 2d533d04e8682f7b7fe01a8d6ffb1293f18b389a0af97a39c59911b7d6ae7a96
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