Text Classification
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-embeddings-inference
Instructions to use MariaFGI/Desired_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaFGI/Desired_run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MariaFGI/Desired_run")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MariaFGI/Desired_run") model = AutoModelForSequenceClassification.from_pretrained("MariaFGI/Desired_run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f950883bc3edf7cf5c41daca29ae505d79ca39345941699743aab27db456d82
- Size of remote file:
- 5.78 kB
- SHA256:
- 3b638602276f45e5e97144ee25836f14d39978b3e4854fd68cc92aa7b32b3ee0
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