Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use abdulmanaam/xlm_roberta_task1_post with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulmanaam/xlm_roberta_task1_post with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulmanaam/xlm_roberta_task1_post")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdulmanaam/xlm_roberta_task1_post") model = AutoModelForSequenceClassification.from_pretrained("abdulmanaam/xlm_roberta_task1_post") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bae8bf0123dfd67640c9604fd6ac92512d36047dd7589838eb57737e2381f35f
- Size of remote file:
- 5.11 kB
- SHA256:
- 0a47f14ade4e2b23cf005f2b4cf060a4c248ac74ff0eb5a333bbe869a12eeba4
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