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split-3-hebrew-trc-alephbert-base-EMP
guyyanko/split-3-hebrew-trc-alephbert-base-EMP
split-3-hebrew-trc-alephbert-base-EMP is a text classification model from guyyanko. Use it when you need a label for a piece of text. It is set up for transformers.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- TemporalRelationClassification
- Access
- Public
- Created
- May 10, 2023
- Updated
- May 10, 2023
- SHA
- 22de3417
Model card
From the Hugging Face model README
from transformers import TextClassificationPipeline
from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
class TemporalRelationClassificationPipeline(TextClassificationPipeline):
def check_model_type(self, supported_models):
pass
pretrained_checkpoint = "guyyanko/split-3-hebrew-trc-alephbert-base-EMP"
model = AutoModelForSequenceClassification.from_pretrained(pretrained_checkpoint, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(pretrained_checkpoint, trust_remote_code=True)
classifier = pipeline(task='text-classification', model=model, tokenizer=tokenizer)
txt = "מחר [א1] אתאמן [/א1] אם [א2] אסיים [/א2] את כל המשימות שלי"
print(classifier(txt))
txt = "אחרי [א1] שאסיים [/א1] את כל המשימות שלי [א2] אלך [/א2] להתאמן בחדר הכושר"
print(classifier(txt))
- Task
- Text Classification
- Library
- transformers
- Type
- TemporalRelationClassification
- Languages
- he
- Created
- May 10, 2023
- Updated
- May 10, 2023