Instructions to use ThirdEyeData/Consumer-Complaint-Categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Consumer-Complaint-Categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThirdEyeData/Consumer-Complaint-Categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Consumer-Complaint-Categorization") model = AutoModelForSequenceClassification.from_pretrained("ThirdEyeData/Consumer-Complaint-Categorization") - Notebooks
- Google Colab
- Kaggle
AttributeError: module 'httpcore' has no attribute 'SyncHTTPTransport'
#2
by Shoaib-33 - opened
my requirements.txt is
altair==4.2.2
beautifulsoup4==4.12.2
googletrans==4.0.0rc1
gTTS==2.3.2
h11==0.9.0
h2==3.2.0
h5py==3.9.0
hpack==3.0.0
httpcore==0.9.1
httpx==0.13.3
huggingface-hub==0.18.0
newspaper3k==0.2.8
nltk==3.8.1
numpy==1.23.5
pandas==2.1.0
streamlit==1.22.0
tensorboard==2.12.3
tensorflow==2.12.0
textblob==0.17.1
yake==0.4.8
and readme is
