Text Classification
Transformers
Safetensors
English
distilbert
intent-detection
b2b
sales-intelligence
gtm
fine-tuned
text-embeddings-inference
Instructions to use SrihariV/b2b-intent-signal-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SrihariV/b2b-intent-signal-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SrihariV/b2b-intent-signal-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SrihariV/b2b-intent-signal-classifier") model = AutoModelForSequenceClassification.from_pretrained("SrihariV/b2b-intent-signal-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K