Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AndresR2909/finetuning_bert_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndresR2909/finetuning_bert_text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndresR2909/finetuning_bert_text_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndresR2909/finetuning_bert_text_classification") model = AutoModelForSequenceClassification.from_pretrained("AndresR2909/finetuning_bert_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AndresR2909/finetuning_bert_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/AndresR2909/finetuning_bert_text_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://AndresR2909/finetuning_bert_text_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AndresR2909/finetuning_bert_text_classification/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- f4563f412b4ee24ffb4e754f03383393cf0fa544d7a2f73f8c7339a08986c270
- Size of remote file:
- 5.24 kB
- SHA256:
- 8e9c8f4457c4048d3df037a971b592e22ffa28b437b6a0076bcc5ef4f44705ad
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