Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use FrinzTheCoder/xlm-roberta-base-orm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FrinzTheCoder/xlm-roberta-base-orm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FrinzTheCoder/xlm-roberta-base-orm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FrinzTheCoder/xlm-roberta-base-orm") model = AutoModelForSequenceClassification.from_pretrained("FrinzTheCoder/xlm-roberta-base-orm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f771c9c3625586651ec0186451ea919bf39dac73c8d3a5c86b0189583c22b5e
- Size of remote file:
- 1.11 GB
- SHA256:
- 1b64f71fff74d71c57fbcae41cab43d3af432f35f1a1d6421f875d67888ea627
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