Instructions to use RamAnanth1/positive-reframing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamAnanth1/positive-reframing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RamAnanth1/positive-reframing") model = AutoModelForSeq2SeqLM.from_pretrained("RamAnanth1/positive-reframing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RamAnanth1/positive-reframing: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/RamAnanth1/positive-reframing/resolve/main/training_args.bin
- Command line
-
hf download hf://RamAnanth1/positive-reframing/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RamAnanth1/positive-reframing/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- b42ff2fe2aafb68a0c8920848705a5745c09faf43f3de6142072dced429f02f5
- Size of remote file:
- 3.44 kB
- SHA256:
- 96a83905d0b9304036abbf015f0532c9294d80f8540ba7ff646d8cd91fa2d243
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