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")# 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
- Xet hash:
- 9e827f2720c47a67995b3b17a53253583b2638fe2b668b77980c0349a671fab5
- Size of remote file:
- 1.11 GB
- SHA256:
- 8843e58b249c5f86a128c21511e1c2af492fbe5fe1f8954e40a474370bd2b326
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