Instructions to use rezaFarsh/finetuning-sentiment-model-198-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rezaFarsh/finetuning-sentiment-model-198-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rezaFarsh/finetuning-sentiment-model-198-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rezaFarsh/finetuning-sentiment-model-198-samples") model = AutoModelForSequenceClassification.from_pretrained("rezaFarsh/finetuning-sentiment-model-198-samples", device_map="auto") - 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 sha256:4909f00fdda58e948be0ef62090fac0113dd5ddd601407fae19ae81d0b1cbfd2
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size 669455360
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