Text Classification
Transformers
Safetensors
English
distilbert
sentiment-analysis
customer-reviews
Eval Results (legacy)
text-embeddings-inference
Instructions to use IberaSoft/customer-sentiment-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IberaSoft/customer-sentiment-analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IberaSoft/customer-sentiment-analyzer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IberaSoft/customer-sentiment-analyzer") model = AutoModelForSequenceClassification.from_pretrained("IberaSoft/customer-sentiment-analyzer") - Notebooks
- Google Colab
- Kaggle
Upload vocab.txt with huggingface_hub
Browse files
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|