Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use X1716/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use X1716/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="X1716/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("X1716/test") model = AutoModelForSequenceClassification.from_pretrained("X1716/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from X1716/test: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/X1716/test/resolve/main/training_args.bin
- Command line
-
hf download hf://X1716/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/X1716/test/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 88a778c97e8fc59342cb305abc9ec12af9db70ea76516c71d5153b6cd7ca4b4d
- Size of remote file:
- 5.37 kB
- SHA256:
- 09748b329c2f5e565186928c0116ca2ae551eb72063cd9ff700baffd4b2791fc
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