Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use achDev/reberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achDev/reberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achDev/reberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achDev/reberta") model = AutoModelForSequenceClassification.from_pretrained("achDev/reberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1185f9ddb9d0929f08ee2c36c98147e5adae5e7909e33897c7f01bdce65c1f98
- Size of remote file:
- 4.92 kB
- SHA256:
- cc2760f56b506f90d09af1cddead7629e431254ed1c3fdeeab37ff2f59b85827
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