Instructions to use OpenMatch/cocodr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/cocodr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenMatch/cocodr-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-large") model = AutoModelForMaskedLM.from_pretrained("OpenMatch/cocodr-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd4301ff0f3e325f9a6926db2471b541d33ae00554281eef479bb62eb7395776
- Size of remote file:
- 1.34 GB
- SHA256:
- 815e9f933288681dbf7da26c45d2581ece846b16d0b23c39aab45ba7887a6a0c
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