Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use nonsodev/datrix-text-classification-job_81d898e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-text-classification-job_81d898e0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nonsodev/datrix-text-classification-job_81d898e0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nonsodev/datrix-text-classification-job_81d898e0") model = AutoModelForSequenceClassification.from_pretrained("nonsodev/datrix-text-classification-job_81d898e0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 786a4b48f024c619bd7e580b23c9e96767e731fc72b1da642d2f87290239adf4
- Size of remote file:
- 5.33 kB
- SHA256:
- f73a98125942e3c7182b34beff7492dc84511c92d67a0853fa046c0376d8ddbe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.