Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-test-text-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-test-text-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-test-text-cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-test-text-cls") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-test-text-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd8896d7e7ab832077fe5c029af62f85d990ee55b67dbf3ed0f87689319e7ff3
- Size of remote file:
- 5.27 kB
- SHA256:
- 323a4831fdf1c87b13e2169c16b403d58ee5f255b7dbb17d47e248edd14b3a77
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