Instructions to use nikesh66/Sentiment-Detection-using-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikesh66/Sentiment-Detection-using-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikesh66/Sentiment-Detection-using-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikesh66/Sentiment-Detection-using-BERT") model = AutoModelForSequenceClassification.from_pretrained("nikesh66/Sentiment-Detection-using-BERT") - 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 sha256:9bb17cf64101e499d1be46a0059df4cc745531ba76eab7aca9d08e870db36318
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size 328511860
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