Instructions to use katuni4ka/tiny-random-internlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katuni4ka/tiny-random-internlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="katuni4ka/tiny-random-internlm", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("katuni4ka/tiny-random-internlm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from katuni4ka/tiny-random-internlm: direct link, hf CLI and curl.
- Browser
- Download file 927 Bytes
-
https://huggingface.co/katuni4ka/tiny-random-internlm/resolve/main/config.json
- Command line
-
hf download hf://katuni4ka/tiny-random-internlm/config.json
-
curl -L -o config.json https://huggingface.co/katuni4ka/tiny-random-internlm/resolve/main/config.json
927 Bytes
| { | |
| "_name_or_path": "/home/ea/work/my_optimum_intel/optimum-intel/tiny-random-internlm", | |
| "architectures": [ | |
| "InternLMForCausalLM" | |
| ], | |
| "attn_implementation": "eager", | |
| "auto_map": { | |
| "AutoConfig": "configuration_internlm.InternLMConfig", | |
| "AutoModel": "internlm/internlm-7b--modeling_internlm.InternLMForCausalLM", | |
| "AutoModelForCausalLM": "modeling_internlm.InternLMForCausalLM" | |
| }, | |
| "bias": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 32, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 86, | |
| "max_position_embeddings": 128, | |
| "model_type": "internlm", | |
| "num_attention_heads": 2, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 2, | |
| "rms_norm_eps": 1e-06, | |
| "rotary": { | |
| "base": 10000, | |
| "type": "dynamic" | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.1", | |
| "use_cache": true, | |
| "vocab_size": 103168 | |
| } | |