Instructions to use yigitkucuk/Sentimentale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yigitkucuk/Sentimentale with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yigitkucuk/Sentimentale")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Sentimentale") model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Sentimentale") - 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 sha256:168b4a68724ec3f73f23e960258454f184e8d859edea5722d389679a6c088005
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size 433281104
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