Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
Instructions to use netcat420/MFANNv0.10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netcat420/MFANNv0.10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.10")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.10") model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from netcat420/MFANNv0.10: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/netcat420/MFANNv0.10/resolve/586f23e8aea1a255bb7baa52fd82e78f549d64d1/generation_config.json
- Command line
-
hf download hf://netcat420/MFANNv0.10@586f23e8aea1a255bb7baa52fd82e78f549d64d1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/netcat420/MFANNv0.10/resolve/586f23e8aea1a255bb7baa52fd82e78f549d64d1/generation_config.json
121 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "transformers_version": "4.40.2" | |
| } | |