Instructions to use DPhO05/my-unixcoder-RQ3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DPhO05/my-unixcoder-RQ3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DPhO05/my-unixcoder-RQ3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DPhO05/my-unixcoder-RQ3") model = AutoModelForSequenceClassification.from_pretrained("DPhO05/my-unixcoder-RQ3") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
b9cae36 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1adebf1b566560828f43dde398b37db0ddbd9c57dad3716c8fcbf8eef26ebf14
size 5265
|