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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 428 Bytes
b8239f8 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"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|>"
}
|