Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Jyotirmoy006/my-fast-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jyotirmoy006/my-fast-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jyotirmoy006/my-fast-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jyotirmoy006/my-fast-bert") model = AutoModelForSequenceClassification.from_pretrained("Jyotirmoy006/my-fast-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24ecebdabf841552d0f5ceb029b59ab649ea9ef2bb5dc9b3e83994a577fe3bb6
- Size of remote file:
- 5.84 kB
- SHA256:
- 93c57ebb6d24eaaa02c927668643c8a1e2589853c94df3a9d50e0d6d948493ac
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