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Update model_functions.py (#4)
Browse files- Update model_functions.py (92c19487aec2d0780de454861d86578e1eea9fc9)
Co-authored-by: Marcelo Moreno <marcelomoreno26@users.noreply.huggingface.co>
- model_functions.py +5 -6
model_functions.py
CHANGED
@@ -3,16 +3,17 @@ from transformers import (AutoModelForSequenceClassification, AutoModelForSeq2Se
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AutoConfig, AutoModelForTokenClassification,
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AutoTokenizer, pipeline)
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from peft import PeftModel, PeftConfig
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def load_sentiment_analyzer():
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tokenizer = AutoTokenizer.from_pretrained("aliciiavs/sentiment-analysis-whatsapp2")
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model = AutoModelForSequenceClassification.from_pretrained("aliciiavs/sentiment-analysis-whatsapp2")
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return tokenizer, model
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def load_summarizer():
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config = PeftConfig.from_pretrained("marcelomoreno26/bart-large-samsum-adapter")
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model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large")
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@@ -23,6 +24,7 @@ def load_summarizer():
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return tokenizer, model
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def load_NER():
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config = AutoConfig.from_pretrained("hannahisrael03/wikineural-multilingual-ner-finetuned-wikiann")
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model = AutoModelForTokenClassification.from_pretrained("hannahisrael03/wikineural-multilingual-ner-finetuned-wikiann",config=config)
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@@ -96,7 +98,4 @@ def get_NER(text, pipe):
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# Add non-ORG entities without filtering
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filtered_results.append(entity)
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return filtered_results
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AutoConfig, AutoModelForTokenClassification,
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AutoTokenizer, pipeline)
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from peft import PeftModel, PeftConfig
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import streamlit as st
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@st.cache_resource
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def load_sentiment_analyzer():
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tokenizer = AutoTokenizer.from_pretrained("aliciiavs/sentiment-analysis-whatsapp2")
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model = AutoModelForSequenceClassification.from_pretrained("aliciiavs/sentiment-analysis-whatsapp2")
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return tokenizer, model
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@st.cache_resource
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def load_summarizer():
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config = PeftConfig.from_pretrained("marcelomoreno26/bart-large-samsum-adapter")
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model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large")
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return tokenizer, model
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@st.cache_resource
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def load_NER():
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config = AutoConfig.from_pretrained("hannahisrael03/wikineural-multilingual-ner-finetuned-wikiann")
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model = AutoModelForTokenClassification.from_pretrained("hannahisrael03/wikineural-multilingual-ner-finetuned-wikiann",config=config)
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# Add non-ORG entities without filtering
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filtered_results.append(entity)
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return filtered_results
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