Instructions to use jacobthebanana/mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobthebanana/mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacobthebanana/mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacobthebanana/mrpc") model = AutoModelForSequenceClassification.from_pretrained("jacobthebanana/mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from jacobthebanana/mrpc: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/jacobthebanana/mrpc/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://jacobthebanana/mrpc/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/jacobthebanana/mrpc/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 6ef60f0009c7b9382e0c659d091d7e8ee56edef23b848ae53d2c21e3fce4f115
- Size of remote file:
- 499 MB
- SHA256:
- 55ffc4b436810b1acef5e46f27b10070ff8a5c4dcc63f8f810eaea03a2d254b1
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