Instructions to use lew96123/deepmind_code_contests_adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lew96123/deepmind_code_contests_adaptor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lew96123/deepmind_code_contests_adaptor", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lew96123/deepmind_code_contests_adaptor", trust_remote_code=True) model = AutoModel.from_pretrained("lew96123/deepmind_code_contests_adaptor", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download added_tokens.json from lew96123/deepmind_code_contests_adaptor: direct link, hf CLI and curl.
- Browser
- Download file 282 Bytes
-
https://huggingface.co/lew96123/deepmind_code_contests_adaptor/resolve/main/added_tokens.json
- Command line
-
hf download hf://lew96123/deepmind_code_contests_adaptor/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/lew96123/deepmind_code_contests_adaptor/resolve/main/added_tokens.json
282 Bytes
| { | |
| "<|/tool_call|>": 200026, | |
| "<|/tool|>": 200024, | |
| "<|assistant|>": 200019, | |
| "<|end|>": 200020, | |
| "<|system|>": 200022, | |
| "<|tag|>": 200028, | |
| "<|tool_call|>": 200025, | |
| "<|tool_response|>": 200027, | |
| "<|tool|>": 200023, | |
| "<|user|>": 200021, | |
| "<|PAD▁TOKEN|>": 200029 | |
| } | |