Instructions to use saumyaaaaaaa/colab-1k-samples-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saumyaaaaaaa/colab-1k-samples-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saumyaaaaaaa/colab-1k-samples-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saumyaaaaaaa/colab-1k-samples-classifier") model = AutoModelForSequenceClassification.from_pretrained("saumyaaaaaaa/colab-1k-samples-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
9916de2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:23749690bd40a618743b5f479f2daf55305259a0fc3d52df534f036da3b9ba3b
size 5201
|