Instructions to use interneuronai/customer_feedback_analysis_-_company_x_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interneuronai/customer_feedback_analysis_-_company_x_bart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="interneuronai/customer_feedback_analysis_-_company_x_bart")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("interneuronai/customer_feedback_analysis_-_company_x_bart") model = AutoModelForSequenceClassification.from_pretrained("interneuronai/customer_feedback_analysis_-_company_x_bart") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4aec8a5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
size 5069051
|