Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_a6102eec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_a6102eec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_a6102eec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_a6102eec") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_a6102eec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4d6fbe3c1408801c80b19c27ebaa3d757db196e6172fdd3fcc6c50a08d35146
- Size of remote file:
- 5.33 kB
- SHA256:
- ea665b3c985749d0cbb445ecd0ec00f2efb3744052b906183d7e1ee310c5344c
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