Instructions to use namesarnav/causalbench_code-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namesarnav/causalbench_code-t5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="namesarnav/causalbench_code-t5-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("namesarnav/causalbench_code-t5-base") model = AutoModelForSequenceClassification.from_pretrained("namesarnav/causalbench_code-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 268 Bytes
1d0f307 | 1 2 3 4 5 6 7 8 9 10 | {
"eval_loss": 0.5991036891937256,
"eval_accuracy": 0.7073791348600509,
"eval_macro_f1": 0.6990185387131952,
"eval_micro_f1": 0.7073791348600509,
"eval_runtime": 5.2286,
"eval_samples_per_second": 300.655,
"eval_steps_per_second": 9.563,
"epoch": 3.0
} |