Instructions to use geektech/flant5small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geektech/flant5small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("geektech/flant5small") model = AutoModelForSeq2SeqLM.from_pretrained("geektech/flant5small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47798856b3bee4d4a326f5ac960af9d258033551d4fa4bd8df040cfd9636ad90
- Size of remote file:
- 4.41 kB
- SHA256:
- 13b554eb992a79bbc569d8d65d63bf06de57dcbf595880c59e4f82038a3fe2a4
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