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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from ASCCCCCCCC/PENGMENGJIE-finetuned-sms: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/ASCCCCCCCC/PENGMENGJIE-finetuned-sms/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ASCCCCCCCC/PENGMENGJIE-finetuned-sms/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ASCCCCCCCC/PENGMENGJIE-finetuned-sms/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 61d2ca813969d693419616f79b6c8f64e7c6e2f95f62d4fe4ef51d4b840ff4bb
- Size of remote file:
- 409 MB
- SHA256:
- 517ba9a76f896fd4a58b1bd082309c9c5307dfe1180140b8fe4125c86e12fbb4
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