Instructions to use SCS/Pre-trained-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SCS/Pre-trained-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SCS/Pre-trained-model") model = AutoModelForSeq2SeqLM.from_pretrained("SCS/Pre-trained-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from SCS/Pre-trained-model: direct link, hf CLI and curl.
- Browser
- Download file 560 kB
-
https://huggingface.co/SCS/Pre-trained-model/resolve/main/merges.txt
- Command line
-
hf download hf://SCS/Pre-trained-model/merges.txt
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curl -L -o merges.txt https://huggingface.co/SCS/Pre-trained-model/resolve/main/merges.txt
560 kB
File too large to display, you can check the raw version instead.