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
File size: 169 Bytes
694b6af | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 128000,
"do_sample": true,
"eos_token_id": [
128001,
128009
],
"transformers_version": "4.40.0.dev0"
}
|