Instructions to use mrinaldi/AAA_half_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrinaldi/AAA_half_trained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrinaldi/AAA_half_trained", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from mrinaldi/AAA_half_trained: direct link, hf CLI and curl.
- Browser
- Download file 439 Bytes
-
https://huggingface.co/mrinaldi/AAA_half_trained/resolve/main/README.md
- Command line
-
hf download hf://mrinaldi/AAA_half_trained/README.md
-
curl -L -o README.md https://huggingface.co/mrinaldi/AAA_half_trained/resolve/main/README.md
439 Bytes
metadata
tags:
- matformer
- custom-model
library_name: transformers
Matformer Model
Trained using Matformer.
Installation
pip install git+https://github.com/mrinaldi97/matformer.git
Usage
import torch
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained(
"mrinaldi/AAA_half_trained",
trust_remote_code=True
)