Transformers
ONNX
Safetensors
English
t5
text2text-generation
encoder-decoder
base-model
lora
adapters
ul2
int8
text-generation-inference
Instructions to use KeelCore/KeelCore-750M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeelCore/KeelCore-750M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KeelCore/KeelCore-750M") model = AutoModelForSeq2SeqLM.from_pretrained("KeelCore/KeelCore-750M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spm.model from KeelCore/KeelCore-750M: direct link, hf CLI and curl.
- Browser
- Download file 597 kB
-
https://huggingface.co/KeelCore/KeelCore-750M/resolve/main/spm.model
- Command line
-
hf download hf://KeelCore/KeelCore-750M/spm.model
-
curl -L -o spm.model https://huggingface.co/KeelCore/KeelCore-750M/resolve/main/spm.model
597 kB
- Xet hash:
- c73b81a4431e70c1997d16ad666ad38bb2d43f5721fd8f54efc38f67ac4480e1
- Size of remote file:
- 597 kB
- SHA256:
- e9608233360d9d089327ad668b6719704019b7d0d3c779188d6c5e5600c54f1e
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