Instructions to use amjad101/messageClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amjad101/messageClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amjad101/messageClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amjad101/messageClassifier") model = AutoModelForSequenceClassification.from_pretrained("amjad101/messageClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114153cc04e9c3894f5eabe8316f372f0fc6dcc4dbe82fdddcfbc23fa1ad3ca4
- Size of remote file:
- 438 MB
- SHA256:
- 4c6e3089fd12900cee6a8a62797241065f41db8aaa2e9e9c89340ba57b06108a
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