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https://avatars1.githubusercontent.com/u/3617152?norod.jpg |
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Model Description:
The model developer notes that the model is
Hebrew nonsense generation model which produces really bad wiki-abstract text.
This model can be used for text generation.
CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).
Hebrew Wikipedia Dump (hewiki abstract) from May 2020
This model was fined tuned upon hebrew-gpt_neo-tiny which was previously trained using EleutherAI's gpt-neo.
Fine-tuning on the wiki-absract text was done using @minimaxir's aitextgen.
Model configs for the hebrew-gpt_neo-tiny is available on the hebrew-gpt_neo model github
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). We present the hardware type based on the associated paper.
Hardware Type: [More information needed]
Hours used: Unknown
Cloud Provider: GCP tpu-v8s
Compute Region: europe-west4
Carbon Emitted: [More information needed]
A Google Colab Notebook is also available here
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Norod78/hebrew-bad_wiki-gpt_neo-tiny")
model = AutoModelForCausalLM.from_pretrained("Norod78/hebrew-bad_wiki-gpt_neo-tiny")
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