Instructions to use Sta-1/Job-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sta-1/Job-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Sta-1/Job-Classifier", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sta-1/Job-Classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("Sta-1/Job-Classifier", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c86c6fba32dea38a85900af92418b7a1b4b3419de933f83642e3fac4759edb45
- Size of remote file:
- 1.63 GB
- SHA256:
- 5bb73ea2b9632877f42d9b02648d62f6b32d73f1deadb042db5df16e0f3f2844
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