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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
24e43cf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:543c3b09d3d4e005ccc7c2985ca33c22237345be795f509f25496b30f70054ef
size 3311
|