Instructions to use nkoh01/MSRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkoh01/MSRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nkoh01/MSRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nkoh01/MSRoberta") model = AutoModelForMaskedLM.from_pretrained("nkoh01/MSRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from nkoh01/MSRoberta: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/nkoh01/MSRoberta/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://nkoh01/MSRoberta/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/nkoh01/MSRoberta/resolve/main/flax_model.msgpack
329 MB
- Xet hash:
- 48db49a1bb01865b5ed0b1fb721e9b0334b57c7e675b9eb3e87710c9084593b2
- Size of remote file:
- 329 MB
- SHA256:
- 8f0892579832a4b9e1d3edfb175c7595efa4fc66baae9f3a3762c622aae66599
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