Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_ac3f99e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_ac3f99e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_ac3f99e5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_ac3f99e5") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_ac3f99e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b9191d3eb486678cb16af973f3705cda8f12134f28b98ff09db45c82916df0f
- Size of remote file:
- 5.33 kB
- SHA256:
- 3f49a0ee904a7c947a59df18442dde35ef9bb04657eb42514ab9060be8e283bd
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