Instructions to use vsty/weights_bert_mlm_epoch50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsty/weights_bert_mlm_epoch50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vsty/weights_bert_mlm_epoch50")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vsty/weights_bert_mlm_epoch50") model = AutoModelForMaskedLM.from_pretrained("vsty/weights_bert_mlm_epoch50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from vsty/weights_bert_mlm_epoch50: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/vsty/weights_bert_mlm_epoch50/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://vsty/weights_bert_mlm_epoch50/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/vsty/weights_bert_mlm_epoch50/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 3899808ccc569ec87d9d369e9767a392ec85479e7cf0af49b6343752a0452642
- Size of remote file:
- 438 MB
- SHA256:
- 9a22eff5fd7587604ef1c9c905c1928b6077e39a6a1f8d20f11cb938806b7663
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