Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ASCCCCCCCC/PENGMENGJIE-finetuned-sms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASCCCCCCCC/PENGMENGJIE-finetuned-sms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ASCCCCCCCC/PENGMENGJIE-finetuned-sms")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ASCCCCCCCC/PENGMENGJIE-finetuned-sms") model = AutoModelForSequenceClassification.from_pretrained("ASCCCCCCCC/PENGMENGJIE-finetuned-sms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e7f037d107ac87eb59411f86bd2b58ca53fc97ba8dd62f28ee0634130977a1
- Size of remote file:
- 3.06 kB
- SHA256:
- 1d7a96a5dc7a92b59caa4686c368aacef3e012f54e5b4d0bcd1e02f7464624e6
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