Instructions to use ThuyNT03/Merge_aivivn_XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/Merge_aivivn_XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuyNT03/Merge_aivivn_XLM-R")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/Merge_aivivn_XLM-R") model = AutoModelForSequenceClassification.from_pretrained("ThuyNT03/Merge_aivivn_XLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ThuyNT03/Merge_aivivn_XLM-R: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ThuyNT03/Merge_aivivn_XLM-R/resolve/main/training_args.bin
- Command line
-
hf download hf://ThuyNT03/Merge_aivivn_XLM-R/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ThuyNT03/Merge_aivivn_XLM-R/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- ea51c365bdda8932720bfe08c6a664a6279bf39eb7da8c1dc2cffbce1739aad8
- Size of remote file:
- 5.11 kB
- SHA256:
- d44e8ba52cc775589cae3979865f46c0fe3722ac161e3e075fbeb7614f24ffa2
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