Instructions to use ToBeWithYou/ABSA-Multi_Label_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ToBeWithYou/ABSA-Multi_Label_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ToBeWithYou/ABSA-Multi_Label_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ToBeWithYou/ABSA-Multi_Label_Classification") model = AutoModelForSequenceClassification.from_pretrained("ToBeWithYou/ABSA-Multi_Label_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from ToBeWithYou/ABSA-Multi_Label_Classification: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/ToBeWithYou/ABSA-Multi_Label_Classification/resolve/main/scheduler.pt
- Command line
-
hf download hf://ToBeWithYou/ABSA-Multi_Label_Classification/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/ToBeWithYou/ABSA-Multi_Label_Classification/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 03e756b77e867cbd7e8aff058934347b7cd0dee85e5013a5f5b3f9151286c292
- Size of remote file:
- 1.06 kB
- SHA256:
- e49d77f2fd4714b15e5fddf4817955787ff24824f7b70574a10344b50cee268f
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