Transformers
Safetensors
Divehi
t5
text2text-generation
dhivehi
gpt
llm
thaana
text-gen
text-generation-inference
Instructions to use alakxender/flan-t5-base-alpaca-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alakxender/flan-t5-base-alpaca-dv with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alakxender/flan-t5-base-alpaca-dv") model = AutoModelForSeq2SeqLM.from_pretrained("alakxender/flan-t5-base-alpaca-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12ef8e71516ca642edaaa61becb3dd4ab043f013d70c20d35d50d1de56eb1c39
- Size of remote file:
- 990 MB
- SHA256:
- 9d1f3b0794e5237016fe205be8c90e3c88193f4d06d51dc62019365dae043bdc
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