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:
- 9f28039a148e98804a0bfd6425c02efd5c42f0b396bf8129bcf1e2774e2c173e
- Size of remote file:
- 438 MB
- SHA256:
- c98ee3895a488f1ad1e5ac226d0d4ec30d748449c6b807ce53426b63d619882b
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