Token Classification
Transformers
Safetensors
Korean
gemma
text-generation
text-generation-inference
Instructions to use hyewon127/gemma_2b_it_fintech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyewon127/gemma_2b_it_fintech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hyewon127/gemma_2b_it_fintech")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hyewon127/gemma_2b_it_fintech") model = AutoModelForCausalLM.from_pretrained("hyewon127/gemma_2b_it_fintech") - Notebooks
- Google Colab
- Kaggle
File size: 522 Bytes
1daf0da | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"additional_special_tokens": [
"<start_of_turn>",
"<end_of_turn>"
],
"bos_token": {
"content": "<bos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<eos>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": "<eos>",
"unk_token": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|