Text Classification
Transformers
Safetensors
English
llama
NLP
sentiment-analysis
tweet-classification
product-reviews
huggingface
text-embeddings-inference
Instructions to use jatinmehra/NegaBot-Product-Criticism-Catcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jatinmehra/NegaBot-Product-Criticism-Catcher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jatinmehra/NegaBot-Product-Criticism-Catcher")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jatinmehra/NegaBot-Product-Criticism-Catcher") model = AutoModelForSequenceClassification.from_pretrained("jatinmehra/NegaBot-Product-Criticism-Catcher") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!