Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_9eccede1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_9eccede1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_9eccede1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_9eccede1") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_9eccede1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65c62c635b5d0a6231df9126b8128369f60db5aa3e2a79e1ccb59c7c3efbafb1
- Size of remote file:
- 5.33 kB
- SHA256:
- ad4983f83af69cb9cfec3dd6c4a1b7e8b2ab05aae6fa127f80a07aa736b967f5
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