Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B") model = PeftModel.from_pretrained(base_model, "DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio: direct link, hf CLI and curl.
- Browser
- Download file 508 Bytes
-
https://huggingface.co/DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/DEVCamiloSepulveda/1-DeepSeekR1SP-appceleratorstudio/resolve/main/special_tokens_map.json
508 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|end▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |