Instructions to use lancehar/last_linear_seed5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lancehar/last_linear_seed5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lancehar/last_linear_seed5", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lancehar/last_linear_seed5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lancehar/last_linear_seed5: direct link, hf CLI and curl.
- Browser
- Download file 264 Bytes
-
https://huggingface.co/lancehar/last_linear_seed5/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lancehar/last_linear_seed5/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/lancehar/last_linear_seed5/resolve/main/tokenizer_config.json
264 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |