Instructions to use moshew/bert-tiny-emotion-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moshew/bert-tiny-emotion-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moshew/bert-tiny-emotion-distilled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moshew/bert-tiny-emotion-distilled") model = AutoModelForSequenceClassification.from_pretrained("moshew/bert-tiny-emotion-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Apr03_09-47-00_e4ec0c2fbf60/events.out.tfevents.1648979253.e4ec0c2fbf60.81.0
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