Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ThuyNT03/Merge_vsfc_XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/Merge_vsfc_XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuyNT03/Merge_vsfc_XLM-R")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/Merge_vsfc_XLM-R") model = AutoModelForSequenceClassification.from_pretrained("ThuyNT03/Merge_vsfc_XLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ThuyNT03/Merge_vsfc_XLM-R: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ThuyNT03/Merge_vsfc_XLM-R/resolve/main/training_args.bin
- Command line
-
hf download hf://ThuyNT03/Merge_vsfc_XLM-R/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ThuyNT03/Merge_vsfc_XLM-R/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- d1c7f10475d78a54bf606e0a16c1a73700c477181c45b61f365ca932bfb66302
- Size of remote file:
- 5.11 kB
- SHA256:
- 20f5c0a024fef83c7744e575c032bcd8830665350a3a5d1e49c17de9be2df518
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