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")# pip install -U transformers accelerate # 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 tokenizer.json from netcat420/MFANNv0.10: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/netcat420/MFANNv0.10/resolve/cabf4bd6199d61ce3e9d479fc5af3789c9ffa55a/tokenizer.json
- Command line
-
hf download hf://netcat420/MFANNv0.10@cabf4bd6199d61ce3e9d479fc5af3789c9ffa55a/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/netcat420/MFANNv0.10/resolve/cabf4bd6199d61ce3e9d479fc5af3789c9ffa55a/tokenizer.json
9.08 MB
File too large to display, you can check the raw version instead.