Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
genre
text-genre
text-embeddings-inference
Instructions to use classla/xlm-roberta-base-multilingual-text-genre-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/xlm-roberta-base-multilingual-text-genre-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/xlm-roberta-base-multilingual-text-genre-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/xlm-roberta-base-multilingual-text-genre-classifier") model = AutoModelForSequenceClassification.from_pretrained("classla/xlm-roberta-base-multilingual-text-genre-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a00b903 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ab104b10948fb00f36aef2beef7233b979c5cfb891f0e3be51655cc591a29314
size 3375
|