Instructions to use dusersad12/BestCheckpoint-ExpRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestCheckpoint-ExpRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestCheckpoint-ExpRepo")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dusersad12/BestCheckpoint-ExpRepo") model = AutoModelForCausalLM.from_pretrained("dusersad12/BestCheckpoint-ExpRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 497b4d06848ec0329af9f8e644ada7065ef7ec10dbf8cb7c1f79d60e00dea8e9
- Size of remote file:
- 2.05 kB
- SHA256:
- a53759ea07e5e451a0c7570f7f17bf3f34141ebef5eab6ae409a94acb4dc1ce0
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