This model was trained using HuggingFace's Flax framework and is part of the
JAX/Flax Community Week
organized by
HuggingFace
. All training was done on a TPUv3-8 VM sponsored by the Google Cloud team.
How to use
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-swahili")
model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-swahili")
print(round((model.num_parameters())/(1000*1000)),"Million Parameters")
105 Million Parameters
Runs of flax-community roberta-swahili on huggingface.co
41
Total runs
0
24-hour runs
2
3-day runs
1
7-day runs
25
30-day runs
More Information About roberta-swahili huggingface.co Model
roberta-swahili huggingface.co
roberta-swahili huggingface.co is an AI model on huggingface.co that provides roberta-swahili's model effect (), which can be used instantly with this flax-community roberta-swahili model. huggingface.co supports a free trial of the roberta-swahili model, and also provides paid use of the roberta-swahili. Support call roberta-swahili model through api, including Node.js, Python, http.
roberta-swahili huggingface.co is an online trial and call api platform, which integrates roberta-swahili's modeling effects, including api services, and provides a free online trial of roberta-swahili, you can try roberta-swahili online for free by clicking the link below.
flax-community roberta-swahili online free url in huggingface.co:
roberta-swahili is an open source model from GitHub that offers a free installation service, and any user can find roberta-swahili on GitHub to install. At the same time, huggingface.co provides the effect of roberta-swahili install, users can directly use roberta-swahili installed effect in huggingface.co for debugging and trial. It also supports api for free installation.