Instructions to use amishshah/balanced_model_title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amishshah/balanced_model_title with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amishshah/balanced_model_title")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amishshah/balanced_model_title") model = AutoModelForSequenceClassification.from_pretrained("amishshah/balanced_model_title") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ef15bdb1e90d0526a52e734c7c39ba08007e03cacb7dff189cb0d2ff03dfd01
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size 498629328
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