Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
Instructions to use netcat420/MFANNv0.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netcat420/MFANNv0.11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.11")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.11") model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from netcat420/MFANNv0.11: direct link, hf CLI and curl.
- Browser
- Download file 715 Bytes
-
https://huggingface.co/netcat420/MFANNv0.11/resolve/main/config.json
- Command line
-
hf download hf://netcat420/MFANNv0.11/config.json
-
curl -L -o config.json https://huggingface.co/netcat420/MFANNv0.11/resolve/main/config.json
715 Bytes
| { | |
| "_name_or_path": "netcat420/MFANNv0.10.10", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 8, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.0", | |
| "use_cache": true, | |
| "vocab_size": 128256 | |
| } | |