Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_35666fe1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_35666fe1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_35666fe1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_35666fe1") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_35666fe1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30048b7f36e6438e9d411baf4e7067cc9f31aa0cba2a8defb050c0ecd4df86fe
- Size of remote file:
- 5.33 kB
- SHA256:
- 517e4e1d959ea392a62d66069b79a55e64f66fde0c80530ae4ad202cabca3b15
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