Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use leal2020/tool-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leal2020/tool-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leal2020/tool-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leal2020/tool-bert") model = AutoModelForSequenceClassification.from_pretrained("leal2020/tool-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71d4a49d0ab98334cce042d10aa0d605e26a08f1a02d26e03fec1b29c968b91b
- Size of remote file:
- 5.3 kB
- SHA256:
- 96bf58d5425484c092fb25f44783ba3ad5272f75704ab690cbe729e5486820af
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