Text Classification
Transformers
Safetensors
roberta
purchase-intention
intent-detection
lead-scoring
text-embeddings-inference
Instructions to use agusdac/yt-comment-purchase-intent-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agusdac/yt-comment-purchase-intent-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agusdac/yt-comment-purchase-intent-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agusdac/yt-comment-purchase-intent-roberta") model = AutoModelForSequenceClassification.from_pretrained("agusdac/yt-comment-purchase-intent-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from agusdac/yt-comment-purchase-intent-roberta: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/agusdac/yt-comment-purchase-intent-roberta/resolve/main/tokenizer.json
- Command line
-
hf download hf://agusdac/yt-comment-purchase-intent-roberta/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/agusdac/yt-comment-purchase-intent-roberta/resolve/main/tokenizer.json
3.56 MB
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