Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anth0nyhak1m/CFGFP_BasicTypeCalssifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anth0nyhak1m/CFGFP_BasicTypeCalssifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anth0nyhak1m/CFGFP_BasicTypeCalssifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anth0nyhak1m/CFGFP_BasicTypeCalssifier") model = AutoModelForSequenceClassification.from_pretrained("anth0nyhak1m/CFGFP_BasicTypeCalssifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03291b7fe57a01e8f6a79a4567e6fb6061e11228ec435fc12c3bce243b517ff3
- Size of remote file:
- 3.64 kB
- SHA256:
- c98eea78e0af4abd7db8be149702edf7fc93a8f5d72b6d4221ac7fbd3c98276d
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