Instructions to use SISLab/amc-opt-msmd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SISLab/amc-opt-msmd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SISLab/amc-opt-msmd", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SISLab/amc-opt-msmd", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("SISLab/amc-opt-msmd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed2b1ecfeeed4fb09e63bff4e5878c7e14c6325b654acee45c28a631011efc08
- Size of remote file:
- 737 MB
- SHA256:
- faacdd6b1fcee65d1a748e1e98e0f1c9ba3feb119224dcd9e07741e2f6d67155
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