Text Classification
Transformers
PyTorch
TensorFlow
JAX
albert
multilingual
fill-mask
xlmindic
nlp
indoaryan
indicnlp
iso15919
Instructions to use ibraheemmoosa/xlmindic-base-multiscript-soham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibraheemmoosa/xlmindic-base-multiscript-soham with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ibraheemmoosa/xlmindic-base-multiscript-soham")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ibraheemmoosa/xlmindic-base-multiscript-soham") model = AutoModelForSequenceClassification.from_pretrained("ibraheemmoosa/xlmindic-base-multiscript-soham") - Notebooks
- Google Colab
- Kaggle
Commit ·
008d913
1
Parent(s): d461d9e
Fix label name
Browse files- config.json +2 -2
config.json
CHANGED
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@@ -12,9 +12,9 @@
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "West Bengal State News",
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"2": "
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"3": "Sports",
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"4": "Entertainment",
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"5": "International"
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"id2label": {
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"0": "Kolkata News",
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"1": "West Bengal State News",
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"2": "India National News",
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"3": "Sports",
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"4": "Entertainment",
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"5": "International"
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