Instructions to use icelab/TraceClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icelab/TraceClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="icelab/TraceClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("icelab/TraceClassifier") model = AutoModelForSequenceClassification.from_pretrained("icelab/TraceClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 449a2aff30aa5308f8e0fd5044200a96ea5502ef9e33dfedcd83c71b0ef8e84c
- Size of remote file:
- 499 MB
- SHA256:
- 0fc241ec7bea1272a61ad0edeac1ae4709b2d5e1be612fe2c3e7dc6bbb6f0296
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