Instructions to use mrm8488/AfricanBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/AfricanBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/AfricanBERTa", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/AfricanBERTa") model = AutoModelForMaskedLM.from_pretrained("mrm8488/AfricanBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d8817ee
1
Parent(s): ae43c36
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:99b918dc75f10a242cdc5edbe0130aff10dc2fa7a2ad2de4df4d097515a173c2
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size 334021505
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