Instructions to use Namronaldo2004/results_codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Namronaldo2004/results_codebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Namronaldo2004/results_codebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Namronaldo2004/results_codebert") model = AutoModelForSequenceClassification.from_pretrained("Namronaldo2004/results_codebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
d3872ec | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:53d77ebaa41b26dc4f6b80d4ed2808176ac6b4f01dadf564a2ea059d52d6e093
size 5201
|