Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use shanhy/xlm-roberta-base_lr0.0001_seed42_basic_eng_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shanhy/xlm-roberta-base_lr0.0001_seed42_basic_eng_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shanhy/xlm-roberta-base_lr0.0001_seed42_basic_eng_train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shanhy/xlm-roberta-base_lr0.0001_seed42_basic_eng_train") model = AutoModelForSequenceClassification.from_pretrained("shanhy/xlm-roberta-base_lr0.0001_seed42_basic_eng_train") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!