Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mrovejaxd/FNST_trad_j with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrovejaxd/FNST_trad_j with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrovejaxd/FNST_trad_j")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrovejaxd/FNST_trad_j") model = AutoModelForSequenceClassification.from_pretrained("mrovejaxd/FNST_trad_j", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef95ddbd71978d5c64e1107446e32be76d510b0c28a9a50c32986d2880e405de
- Size of remote file:
- 439 MB
- SHA256:
- 9fb45b096ab1d08fb945e8984beee3ada4661395f5592a4607ba14aee1270165
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