Instructions to use noahshinn/ts-code2td with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noahshinn/ts-code2td with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="noahshinn/ts-code2td", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("noahshinn/ts-code2td", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("noahshinn/ts-code2td", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "model_max_length": 2048, | |
| "name_or_path": "bigcode/santacoder", | |
| "special_tokens_map_file": "/home/ubuntu/.cache/huggingface/hub/models--bigcode--santacoder/snapshots/636ad0a694975c25bdb8a16fb8ffda275525a2a8/special_tokens_map.json", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |