Instructions to use Mergeability/beetle-humanscale-zho-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mergeability/beetle-humanscale-zho-eng with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mergeability/beetle-humanscale-zho-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download task_arithmetic__aligned/config.json from Mergeability/beetle-humanscale-zho-eng: direct link, hf CLI and curl.
- Browser
- Download file 533 Bytes
-
https://huggingface.co/Mergeability/beetle-humanscale-zho-eng/resolve/main/task_arithmetic__aligned/config.json
- Command line
-
hf download hf://Mergeability/beetle-humanscale-zho-eng/task_arithmetic__aligned/config.json
-
curl -L -o config.json https://huggingface.co/Mergeability/beetle-humanscale-zho-eng/resolve/main/task_arithmetic__aligned/config.json
533 Bytes
| { | |
| "activation_hidden_dim": 3072, | |
| "architectures": [ | |
| "PicoDecoderHF" | |
| ], | |
| "attention_n_heads": 12, | |
| "attention_n_kv_heads": 1, | |
| "auto_map": { | |
| "AutoConfig": "pico_decoder.PicoDecoderHFConfig", | |
| "AutoModelForCausalLM": "pico_decoder.PicoDecoderHF" | |
| }, | |
| "batch_size": 64, | |
| "d_model": 768, | |
| "dropout": 0.1, | |
| "dtype": "float32", | |
| "max_seq_len": 512, | |
| "model_type": "pico_decoder", | |
| "n_layers": 14, | |
| "norm_eps": 1e-05, | |
| "position_emb_theta": 10000.0, | |
| "transformers_version": "5.14.1", | |
| "vocab_size": 50005 | |
| } | |