Comments (4)
if you want to fine-tune this model, you can check this notebook, https://github.com/huggingface/notebooks/blob/main/examples/language_modeling.ipynb -- just change the model and datasets, i already tried it works 💯
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@lewislovelock , I wanted to finetune the base versions of biogpt. but it looks like huggingface has only the biogpt large checkpoints. Looks like not all the checkpoints in the readME are openly available.
from biogpt.
@lewislovelock , I wanted to finetune the base versions of biogpt. but it looks like huggingface has only the biogpt large checkpoints. Looks like not all the checkpoints in the readME are openly available.
from transformers import BioGptTokenizer, BioGptForCausalLM
from datasets import load_dataset
datasets = load_dataset('YOUR_DATASET')
model = BioGptForCausalLM.from_pretrained("microsoft/biogpt")
......
https://huggingface.co/microsoft/biogpt/tree/main
emmm, is this not the base version?
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@lewislovelock
All the links in readme seem to be working now when I checked. Looks like the issue is fixed. Thanks
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Related Issues (20)
- Valid set and test set of HoC task
- Java code HOT 1
- PubMedQA Finetuning HOT 1
- Can't download models HOT 7
- Token classification is not working HOT 2
- Not able to get the right response for relation extraction task (DDI Drug Drug Interatcion)
- can't download the checkpoints now
- Drugbank entity replacement
- Downloading checkpoints error HOT 2
- Fine-tune for a Domain Text Generation
- Chat de grupo personal
- Example demo links on the main page do not work
- Cannot download pre trained model HOT 4
- AttributeError: module 'fastBPE' has no attribute 'fastBPE' HOT 1
- Demo's not working HOT 1
- Issue with Degrading Text Generation Quality in Fine-Tuning BioGPT
- Archive name 'data' was not found in archive name list HOT 1
- Cannot run drug-target interaction example.
- Can I run the pretrained-model with CPU only cluster HOT 1
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