Instructions to use amishshah/imbalanced_model_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amishshah/imbalanced_model_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amishshah/imbalanced_model_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amishshah/imbalanced_model_9") model = AutoModelForSequenceClassification.from_pretrained("amishshah/imbalanced_model_9") - 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 sha256:4e8adc365d2ddac5eefe056de8b04b5a7c0ff3ab6e158a2505ef4401354a2cf5
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size 498629328
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