Instructions to use OpenMatch/cocodr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/cocodr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenMatch/cocodr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-base") model = AutoModelForMaskedLM.from_pretrained("OpenMatch/cocodr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1e419e23b180d55ff432359b64ca9eacb11a2cce4992a42b2eb3223690e1e45
- Size of remote file:
- 56.8 MB
- SHA256:
- b153f55db60afaafb1a970ddac5831fedd15c76ae78316f8c235bb45ff5a8b48
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