Instructions to use SmallDoge/Doge-320M-Instruct-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmallDoge/Doge-320M-Instruct-SFT with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="SmallDoge/Doge-320M-Instruct-SFT", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge-320M-Instruct-SFT", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("SmallDoge/Doge-320M-Instruct-SFT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from SmallDoge/Doge-320M-Instruct-SFT: direct link, hf CLI and curl.
- Browser
- Download file 482 Bytes
-
https://huggingface.co/SmallDoge/Doge-320M-Instruct-SFT/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://SmallDoge/Doge-320M-Instruct-SFT/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/SmallDoge/Doge-320M-Instruct-SFT/resolve/main/special_tokens_map.json
482 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|finetune_right_pad_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |