Instructions to use OpenMatch/cocodr-large-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/cocodr-large-msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenMatch/cocodr-large-msmarco")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-large-msmarco") model = AutoModelForMaskedLM.from_pretrained("OpenMatch/cocodr-large-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f3fd6da11b31e301b1094cdbf128b7b75cd9cd5acc0ddb132ca668e2d56e53b
- Size of remote file:
- 1.34 GB
- SHA256:
- 68d7c7c70cecd52ed99b3da78afa52f3bc00310ecda54344adc58db6ddefa7f8
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