Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RonTon05/xml-roberta-base-finetuned-70kURL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/xml-roberta-base-finetuned-70kURL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RonTon05/xml-roberta-base-finetuned-70kURL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RonTon05/xml-roberta-base-finetuned-70kURL") model = AutoModelForSequenceClassification.from_pretrained("RonTon05/xml-roberta-base-finetuned-70kURL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0691e79a1857394efbaaefce50819389e3dec6c45705edb222cab3cb8518086
- Size of remote file:
- 5.05 kB
- SHA256:
- f3df08d836c43b32f09ed99b729ec0e57f3b784b94ccf1ecddb8912137af8393
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