Feature Extraction
Transformers
Safetensors
the_net_omni
custom_code
multimodal
mixture-of-experts
weight-sharing
8-bit precision
compressed-tensors
Instructions to use JacobLinCool/the-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/the-net with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JacobLinCool/the-net", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JacobLinCool/the-net", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from JacobLinCool/the-net: direct link, hf CLI and curl.
- Browser
- Download file 823 Bytes
-
https://huggingface.co/JacobLinCool/the-net/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://JacobLinCool/the-net/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/JacobLinCool/the-net/resolve/main/tokenizer_config.json
823 Bytes
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<eos>", | |
| "extra_special_tokens": {}, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 2048, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |