Instructions to use imamassi/fine-tuning-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imamassi/fine-tuning-learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="imamassi/fine-tuning-learning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("imamassi/fine-tuning-learning") model = AutoModelForSequenceClassification.from_pretrained("imamassi/fine-tuning-learning") - 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 sha256:288f529ef26f0d55812b745d320b87f93034305010630c062ac899fde12449d1
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size 437968984
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