Instructions to use pucpr/biobertpt-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/biobertpt-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/biobertpt-all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-all") model = AutoModelForMaskedLM.from_pretrained("pucpr/biobertpt-all", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from pucpr/biobertpt-all: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/pucpr/biobertpt-all/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://pucpr/biobertpt-all/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/pucpr/biobertpt-all/resolve/main/flax_model.msgpack
712 MB
- Xet hash:
- 9c96240104e0bc87ec5b3aca14a2a755d974e651000a23c012ee78d07f816ead
- Size of remote file:
- 712 MB
- SHA256:
- a1b82741c89257083c893bd52c069aa7d35aa805f468ccc36f0e2725c59bef9e
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