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boltuix
/

NeuroFeel

Text Classification

sentiment-analysis

emotion-detection

machine-learning

Model card Files Files and versions

Instructions to use boltuix/NeuroFeel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use boltuix/NeuroFeel with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="boltuix/NeuroFeel")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("boltuix/NeuroFeel")
model = AutoModelForSequenceClassification.from_pretrained("boltuix/NeuroFeel")

Notebooks
Google Colab
Kaggle

57.7 MB

Ctrl+K

Ctrl+K

1 contributor

History: 57 commits

boltuix's picture

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.gitattributes

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README.md

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config.json

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how_to_train_model.ipynb

127 kB
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model.safetensors

57.3 MB
xet

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special_tokens_map.json

695 Bytes
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tokenizer_config.json

1.3 kB
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vocab.txt

232 kB
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