Instructions to use bimamuhammad/flan-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bimamuhammad/flan-ha with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bimamuhammad/flan-ha") model = AutoModelForSeq2SeqLM.from_pretrained("bimamuhammad/flan-ha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bimamuhammad/flan-ha: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/bimamuhammad/flan-ha/resolve/main/training_args.bin
- Command line
-
hf download hf://bimamuhammad/flan-ha/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bimamuhammad/flan-ha/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 6dc5ae8af024c9259734798502f307d2788636d2679ce87a3449b1665cb756e4
- Size of remote file:
- 5.3 kB
- SHA256:
- c642889cd10f510bc7a5878c810dc999d64239b5b294f89f831d37a6240eb594
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