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 special_tokens_map (2).json from netcat420/MFANNv0.11: direct link, hf CLI and curl.
- Browser
- Download file 296 Bytes
-
https://huggingface.co/netcat420/MFANNv0.11/resolve/b3f9a14465a587ebba8e0bb55b3a49400ca4b890/special_tokens_map%20(2).json
- Command line
-
hf download 'hf://netcat420/MFANNv0.11@b3f9a14465a587ebba8e0bb55b3a49400ca4b890/special_tokens_map (2).json'
-
curl -L -o 'special_tokens_map (2).json' 'https://huggingface.co/netcat420/MFANNv0.11/resolve/b3f9a14465a587ebba8e0bb55b3a49400ca4b890/special_tokens_map%20(2).json'
296 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |