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
Commit ·
44742c1
1
Parent(s): 5187cba
Upload train_results.json with huggingface_hub
Browse files- train_results.json +8 -0
train_results.json
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{
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"epoch": 20.0,
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"train_loss": 0.06258585786290943,
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"train_runtime": 5261.4565,
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"train_samples": 6500,
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"train_samples_per_second": 24.708,
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"train_steps_per_second": 1.543
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}
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