covid-papers-browser
covid-papers-browser copied to clipboard
Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers π¦ π
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [flask-cors](https://github.com/corydolphin/flask-cors) from 3.0.8 to 3.0.9. Release notes Sourced from flask-cors's releases. Release 3.0.9 Security Escape path before evaluating resource rules (thanks @βpraetorian-colby-morgan). Prior to this, flask-cors incorrectly evaluated CORS...
Hi, I am a novice in the domain of fine-tuning my own dataset on any Transformer models. I want to fine-tune my dataset on the SciBERT NLI model(https://huggingface.co/gsarti/scibert-nli). The dataset...
Great work! Heres some data that might be more domain related. Its not open but it might be helpful? https://jgc128.github.io/mednli/
I'm on ubuntu, made a fresh conda environment and conda installed pip within it, then ran `pip install -r requirements.txt` I got this ``` ERROR: sentence-transformers 0.2.5.1 has requirement transformers==2.3.0,...
Linked my Google Analytics account on the app. @gsarti if you wish to use your own account let me know and I will share the process.
Similar to what is currently available in `download_model.py`, add Argparse with parameters in `finetune_nli.py` for parameters: - `model_name`, default 'models/scibert', type `str` - `batch_size`, default 64, type `int` - `model_save_path`,...