Text Classification
Transformers
TensorBoard
Safetensors
Azerbaijani
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use hajili/xlm-roberta-large-azsci-topics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajili/xlm-roberta-large-azsci-topics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hajili/xlm-roberta-large-azsci-topics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hajili/xlm-roberta-large-azsci-topics") model = AutoModelForSequenceClassification.from_pretrained("hajili/xlm-roberta-large-azsci-topics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12aede4f48ca96716626201543418102948d3823d1f90517365b6dc76f7b86f2
- Size of remote file:
- 2.24 GB
- SHA256:
- 1a1678003fac881fa6c8a1242ebe65d51ef7eb52f65bc7718158f758a2a9d7f5
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