Instructions to use OpenMatch/cocodr-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/cocodr-base-msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenMatch/cocodr-base-msmarco")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-base-msmarco") model = AutoModelForMaskedLM.from_pretrained("OpenMatch/cocodr-base-msmarco", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from OpenMatch/cocodr-base-msmarco: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/OpenMatch/cocodr-base-msmarco/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://OpenMatch/cocodr-base-msmarco/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/OpenMatch/cocodr-base-msmarco/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 2a9a12102f20ae7f6e08682a36de7cdb97ea4acba040a453458a1273bbe9662b
- Size of remote file:
- 440 MB
- SHA256:
- 820df9c6df682522578f186dafa9ed07aa01cfab24931868c1cd1667137aa5b3
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