Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_07f44d74 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_07f44d74 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_07f44d74")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_07f44d74") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_07f44d74", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b734a67d6e796aa4304ef1f7e7f52b08997587323a9d6735b19de89604ff445
- Size of remote file:
- 5.33 kB
- SHA256:
- 5d0d36e19dbc195bae0afee51195cdc2c2fbcdde4e6bc42b4d77cc729ba053f1
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