Instructions to use ruanchaves/mdeberta-v3-base-faquad-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-faquad-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-faquad-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-faquad-nli") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-faquad-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 197 Bytes
b0070aa | 1 2 3 4 5 6 7 8 | {
"epoch": 20.0,
"train_loss": 0.056036626369907305,
"train_runtime": 3116.2149,
"train_samples": 3128,
"train_samples_per_second": 20.076,
"train_steps_per_second": 1.252
} |