Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ohmmy3847/Ohm-version3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ohmmy3847/Ohm-version3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ohmmy3847/Ohm-version3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ohmmy3847/Ohm-version3") model = AutoModelForSequenceClassification.from_pretrained("Ohmmy3847/Ohm-version3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c542ba17d093304bf98eef3284a52bc22eff5267dfa7809fb59fce20b0a99932
- Size of remote file:
- 4.92 kB
- SHA256:
- 63c41f1ff135590bddd0b3ddb15d7db4fadeca6e986a8de388b336c99468b69b
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