Instructions to use trhgquan/visobert-human-finetune-seg-seed-6969 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trhgquan/visobert-human-finetune-seg-seed-6969 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trhgquan/visobert-human-finetune-seg-seed-6969")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-human-finetune-seg-seed-6969") model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-human-finetune-seg-seed-6969") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d50a4a2d71d3d640022f816a59b11dc8a8d24ef4d519bfbf85a1bbac01cbeb9d
- Size of remote file:
- 390 MB
- SHA256:
- c8c7e41df5b5563ccad29cb41f402c3a5c6f814d4cf7e9ccbc49b72faa7da2a1
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