Instructions to use Mithil/Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mithil/Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mithil/Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mithil/Bert") model = AutoModelForSequenceClassification.from_pretrained("Mithil/Bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b36dce8fffc081dc3a8313a5c260cb0261ae9483919e67acdc2b4c8bd20dc221
- Size of remote file:
- 3.06 kB
- SHA256:
- 2c6f97ebcfdf89059ae2c1a0b668fc899e477ff39fb3c2e4515382487de63484
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