Text Classification
Transformers
ONNX
Safetensors
English
bert
freelance
intent-classification
text-embeddings-inference
Instructions to use ademchaoua/freelance-offer-request-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ademchaoua/freelance-offer-request-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ademchaoua/freelance-offer-request-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ademchaoua/freelance-offer-request-classifier") model = AutoModelForSequenceClassification.from_pretrained("ademchaoua/freelance-offer-request-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b0ae45d5d9c1c02bfb7237e9eb53342040b744cf1576da0b80759577da6586
- Size of remote file:
- 5.84 kB
- SHA256:
- 14ae5d30d986a450fb8bd37372f5d13148d344b12fcb6c9a9bc9341104ab3aab
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