Instructions to use luohoa97/PersonalBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohoa97/PersonalBot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohoa97/PersonalBot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohoa97/PersonalBot") model = AutoModelForSequenceClassification.from_pretrained("luohoa97/PersonalBot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6643b1bc6651625661e30c56fab7f535289f8f86258c4af0dfebba802a39b26
- Size of remote file:
- 438 MB
- SHA256:
- 5ef324cc13ad93b9395092b3fac440a7532d2f14431f3768de0e2c9ff474d62a
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