Instructions to use benjamin/roberta-base-wechsel-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-base-wechsel-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-base-wechsel-chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-base-wechsel-chinese") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-base-wechsel-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from benjamin/roberta-base-wechsel-chinese: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/benjamin/roberta-base-wechsel-chinese/resolve/main/optimizer.pt
- Command line
-
hf download hf://benjamin/roberta-base-wechsel-chinese/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/benjamin/roberta-base-wechsel-chinese/resolve/main/optimizer.pt
998 MB
- Xet hash:
- 0e12c1576e8f1031d78ccb74f42cbc0ff41157bc6abfb94867b7c9da5c113cbe
- Size of remote file:
- 998 MB
- SHA256:
- e09445db4913a4cc5accc844d2829afb9c001bfc75f48c2bc9661b14135b0afa
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