Text Classification
Transformers
Safetensors
llama
trl
reward-trainer
Generated from Trainer
text-embeddings-inference
Instructions to use smohammadi/tinyllama_rm_sentiment_1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smohammadi/tinyllama_rm_sentiment_1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smohammadi/tinyllama_rm_sentiment_1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smohammadi/tinyllama_rm_sentiment_1b") model = AutoModelForSequenceClassification.from_pretrained("smohammadi/tinyllama_rm_sentiment_1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smohammadi/tinyllama_rm_sentiment_1b: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/smohammadi/tinyllama_rm_sentiment_1b/resolve/main/training_args.bin
- Command line
-
hf download hf://smohammadi/tinyllama_rm_sentiment_1b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smohammadi/tinyllama_rm_sentiment_1b/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 70d5e7e307c04fb920ba498d10e6c29814df1b80103ff12929b6c71deac562e9
- Size of remote file:
- 5.18 kB
- SHA256:
- f5d0d6b4fb9966c5e68343cb8547406281dd0f9d179520c8eca47de3775b1378
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