Instructions to use mishig/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mishig/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mishig/my-awesome-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mishig/my-awesome-model") model = AutoModelForSequenceClassification.from_pretrained("mishig/my-awesome-model") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Sentiment Classification by pretraining bert-base-cased
A test repo exploring HF Model Hub by following https://huggingface.co/transformers/model_sharing.html
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