Text Classification
Transformers
PyTorch
Safetensors
Marathi
English
multilingual
bert
codemix
text-embeddings-inference
Instructions to use l3cube-pune/me-hate-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/me-hate-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="l3cube-pune/me-hate-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/me-hate-bert") model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/me-hate-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
407f193
1
Parent(s): c1a35d2
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (43ac7f148a7a2e6cadd635636fa4e9920b597ea8)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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