Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use abdullaharoon/xlm-roberta-base-urdu-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullaharoon/xlm-roberta-base-urdu-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdullaharoon/xlm-roberta-base-urdu-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdullaharoon/xlm-roberta-base-urdu-sentiment") model = AutoModelForSequenceClassification.from_pretrained("abdullaharoon/xlm-roberta-base-urdu-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01dfa6c30ff8339a7aff24047875a5fa078b2f608373f3c9936a87f768915a62
- Size of remote file:
- 17.1 MB
- SHA256:
- a04dec98c0804beeedde93263778442d924081d88090d4ac3db097205fa959bd
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