Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RantiRepo/job_classifier_xlmroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RantiRepo/job_classifier_xlmroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RantiRepo/job_classifier_xlmroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RantiRepo/job_classifier_xlmroberta") model = AutoModelForSequenceClassification.from_pretrained("RantiRepo/job_classifier_xlmroberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bf9770de073e88887e8606795c758c1b21019710a7aa4f60a61c45b0ea841ac
- Size of remote file:
- 5.78 kB
- SHA256:
- c90f1af3b3d7513a630dde97e8e3931c051f1ee48c3a69c0b334fff39224b330
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