Instructions to use ruanchaves/mdeberta-v3-base-assin2-entailment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-assin2-entailment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-assin2-entailment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-assin2-entailment") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-assin2-entailment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 196 Bytes
44742c1 | 1 2 3 4 5 6 7 8 | {
"epoch": 20.0,
"train_loss": 0.06258585786290943,
"train_runtime": 5261.4565,
"train_samples": 6500,
"train_samples_per_second": 24.708,
"train_steps_per_second": 1.543
} |