Instructions to use aayumin/text_classifier_sentiment_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aayumin/text_classifier_sentiment_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aayumin/text_classifier_sentiment_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aayumin/text_classifier_sentiment_finetuned") model = AutoModelForSequenceClassification.from_pretrained("aayumin/text_classifier_sentiment_finetuned", 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 sha256:986b243c99f1cb1f68af9b74d2a316ba15ab82bd68a3e3e2c70868d652493655
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size 70233500
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