Instructions to use wangrongsheng/carellm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangrongsheng/carellm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wangrongsheng/carellm", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wangrongsheng/carellm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from wangrongsheng/carellm: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/wangrongsheng/carellm/resolve/main/config.json
- Command line
-
hf download hf://wangrongsheng/carellm/config.json
-
curl -L -o config.json https://huggingface.co/wangrongsheng/carellm/resolve/main/config.json
1.06 kB
| { | |
| "_name_or_path": "../../WiNGPT2-7B-Chat", | |
| "architectures": [ | |
| "QWenLMHeadModel" | |
| ], | |
| "attn_dropout_prob": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_qwen.QWenConfig", | |
| "AutoModel": "modeling_qwen.QWenLMHeadModel", | |
| "AutoModelForCausalLM": "modeling_qwen.QWenLMHeadModel" | |
| }, | |
| "bf16": true, | |
| "emb_dropout_prob": 0.0, | |
| "fp16": false, | |
| "fp32": false, | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 22016, | |
| "kv_channels": 128, | |
| "layer_norm_epsilon": 1e-06, | |
| "max_position_embeddings": 8192, | |
| "model_type": "qwen", | |
| "no_bias": true, | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "onnx_safe": null, | |
| "pad_token_id": 151643, | |
| "rotary_emb_base": 10000, | |
| "rotary_pct": 1.0, | |
| "scale_attn_weights": true, | |
| "seq_length": 4096, | |
| "tie_word_embeddings": false, | |
| "tokenizer_class": "QWenTokenizer", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.33.1", | |
| "use_cache": false, | |
| "use_dynamic_ntk": true, | |
| "use_flash_attn": false, | |
| "use_logn_attn": true, | |
| "vocab_size": 151936 | |
| } | |