Instructions to use vinai/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base") model = AutoModelForMaskedLM.from_pretrained("vinai/bertweet-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from vinai/bertweet-base: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/vinai/bertweet-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://vinai/bertweet-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/vinai/bertweet-base/resolve/main/flax_model.msgpack
540 MB
- Xet hash:
- bab14b57f678835c1c56a3df6f9ad4e7b72757cbc9c0d4e1ecf560c88003fab9
- Size of remote file:
- 540 MB
- SHA256:
- 2b81d613bab4d919be5031292938cdd928e25b947ec5842ec5ff8e35ed1de2d4
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