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
| library_name: transformers | |
| license: llama3 | |
| datasets: | |
| - netcat420/MFANN | |
| language: | |
| - en | |
| pipeline_tag: text-classification | |
| MFANN 8b version 0.10 | |
|  | |
| fine-tuned on the MFANN dataset as it stands on 5/14/24 as it is an ever expanding dataset | |