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This is a smaller version of the
gpt2
decoder transformer model pretrained from scratch for
1.5 days
on
290 million tokens
of
Amharic
text.
It has
33.7 Million parameters
The
context size
of this model is
128
tokens.
It has the same
tokenizer
as gpt2, trained from scratch using the same dataset with a vocabulary size of
16384
.
This is a base model and hasn't undergone any supervised finetuing yet.
It achieves the following results on the evaluation set:
Loss: 3.99
Perplexity: 54.17
Demo
You can use the following demo to generate text using gpt2-small-amharic. Please
enter a prompt
and click the
Generate
button to generate completions for the prompt.
Runs of rasyosef gpt2-small-amharic-128-v3 on huggingface.co
76
Total runs
1
24-hour runs
12
3-day runs
11
7-day runs
52
30-day runs
More Information About gpt2-small-amharic-128-v3 huggingface.co Model
gpt2-small-amharic-128-v3 huggingface.co
gpt2-small-amharic-128-v3 huggingface.co is an AI model on huggingface.co that provides gpt2-small-amharic-128-v3's model effect (), which can be used instantly with this rasyosef gpt2-small-amharic-128-v3 model. huggingface.co supports a free trial of the gpt2-small-amharic-128-v3 model, and also provides paid use of the gpt2-small-amharic-128-v3. Support call gpt2-small-amharic-128-v3 model through api, including Node.js, Python, http.
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gpt2-small-amharic-128-v3 install url in huggingface.co: