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Datasets:
chris1tava
/
position_names

Modalities:
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Formats:
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10K - 100K
Libraries:
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golf B-POS
course I-POS
architect I-POS
totally O
really O
immediately O
floral B-POS
artist I-POS
patiently O
painstakingly O
gerontologist B-POS
unquestionably O
network B-POS
engineer I-POS
approximately O
suddenly O
mitochondrial B-POS
disorders I-POS
counselor I-POS
reluctantly O
infrequently O
deliberately O
oceanic B-POS
sciences I-POS
professor I-POS
invariably O
systematically O
monthly O
biomedical B-POS
electronics I-POS
technician I-POS
solemnly O
tirelessly O
doubtfully O
computer B-POS
numerically I-POS
controlled I-POS
programmer I-POS
energetically O
promptly O
yearly O
tirelessly O
university B-POS
dean I-POS
eagerly O
incessantly O
boiler B-POS
coverer I-POS
consistently O
briskly O
film B-POS
operator I-POS
courteously O
briefly O
professional B-POS
motocross I-POS
racer I-POS
persistently O
tenderly O
regularly O
motion B-POS
picture I-POS
director I-POS
really O
arguably O
vigorously O
yoga B-POS
instructor I-POS
enthusiastically O
wonderfully O
extragalactic B-POS
astronomer I-POS
strategically O
resourcefully O
information B-POS
technology I-POS
service I-POS
desk I-POS
manager I-POS
tenderly O
rarely O
happily O
eventually O
significantly O
public B-POS
safety I-POS
dispatcher I-POS
briefly O
transparently O
tragically O
dough B-POS
maker I-POS
tensely O
rapidly O
screw B-POS
machine I-POS
operator I-POS
very O
obliviously O
appropriately O
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Check out the documentation for more information.

#Prepare dataset

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

#Training

python hf_model_train.py
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Models trained or fine-tuned on chris1tava/position_names