Instructions to use moshew/Mini-bert-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moshew/Mini-bert-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moshew/Mini-bert-distilled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moshew/Mini-bert-distilled") model = AutoModelForSequenceClassification.from_pretrained("moshew/Mini-bert-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/May10_19-24-19_25056aed8f14/events.out.tfevents.1652210680.25056aed8f14.79.32
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