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
File size: 287 Bytes
aafd37c | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"tokenizer_class": "PreTrainedTokenizerFast",
"model_max_length": 2048,
"pad_token": "<pad>",
"eos_token": "</s>",
"unk_token": "<unk>",
"clean_up_tokenization_spaces": false,
"add_prefix_space": false,
"model_input_names": [
"input_ids",
"attention_mask"
]
} |