Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use MarPla/BertDiscussionComp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarPla/BertDiscussionComp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarPla/BertDiscussionComp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarPla/BertDiscussionComp") model = AutoModelForSequenceClassification.from_pretrained("MarPla/BertDiscussionComp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
BertDiscussionComp / runs /Jun09_16-52-55_05d30572db34 /events.out.tfevents.1717951977.05d30572db34.34.0
- Xet hash:
- 7cec5225af5aeee623dcbd97924e923bc4397c9b2b1a8854f80465055d02c8a4
- Size of remote file:
- 10 kB
- SHA256:
- e23a0c3d7f64fc73740b650095cfb900af80496b851b3750ddb13f5f670fb775
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