Text Classification
Transformers
Safetensors
English
distilbert
sms-spam
mlops
kaggle
wandb
huggingface
iit-jodhpur
group-36
G25AIT2016
text-embeddings-inference
Instructions to use Aukrk/MLOPS_group-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aukrk/MLOPS_group-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aukrk/MLOPS_group-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aukrk/MLOPS_group-v4") model = AutoModelForSequenceClassification.from_pretrained("Aukrk/MLOPS_group-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Aukrk/MLOPS_group-v4: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Aukrk/MLOPS_group-v4/resolve/main/tokenizer.json
- Command line
-
hf download hf://Aukrk/MLOPS_group-v4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Aukrk/MLOPS_group-v4/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.