Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use cartesinus/xlm-r-base_leyzer_intent-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cartesinus/xlm-r-base_leyzer_intent-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cartesinus/xlm-r-base_leyzer_intent-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cartesinus/xlm-r-base_leyzer_intent-en") model = AutoModelForSequenceClassification.from_pretrained("cartesinus/xlm-r-base_leyzer_intent-en") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
24a791f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:58adb590b14dd2972373483fe9cac352128d951c61edfe902fa687bef354286d
size 1112790580
|