| | --- |
| | library_name: transformers |
| | tags: [] |
| | --- |
| | |
| | # Model Card for Model ID |
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| | <!-- Provide a quick summary of what the model is/does. --> |
| | gpt2-medium + 16GTok from secret sauce mixture @ 2e-5 -> 2e-6 cosine schedule |
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| | ```python |
| | from transformers import AutoModelForCausalLM, AutoTokenizer |
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| | model = AutoModelForCausalLM.from_pretrained("crumb/gpt2-medium-eb49cc") |
| | tokenizer = AutoTokenizer.from_pretrained("crumb/gpt2-medium-eb49cc") |
| | |
| | prompt = "In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English." |
| | input_ids = tokenizer(prompt, return_tensors="pt").input_ids |
| | output = model.generate(input_ids, max_new_tokens=256, temperature=0.7, do_sample=True, penalty_alpha=0.6, top_k=16, repetition_penalty=1.1) |
| | print(tokenizer.decode(output[0], skip_special_tokens=True)) |
| | # In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English. |
| | # I'm not sure if they have any language barrier. What I do know is what makes such an amazing find possible and so compelling, and how it shows us something about the nature behind our shared universe! |
| | # The researchers were studying the ecology on Mount Kilimanjaro when one day while hiking they stumbled across an unexpected sight: two unicorn herds grazing together. The scientists immediately realized there must be some sort - or possibly group-of organisms- that could help them understand this unusual animal behavior – especially considering its strange appearance…and the fact these animals can communicate with each other using sounds. It's as though they are communicating through the sound waves generated by their own horns. This discovery may prove crucial for understanding how we evolved to live in groups. For example... |
| | # What does the unicorn mean? Well based off his name "Kilimander", this is a very interesting creature. He looks like he should come from another planet but has quite similar characteristics. His horn is covered up almost completely with skin so it's hard even touching him. So you would think he would use it only during mating season (when females want attention) although he might also use himself as prey during mating seasons. As a result male birds will often chase and mate directly below him to |
| | ``` |
| | ## Model Details |
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| | ### Model Description |
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| | <!-- Provide a longer summary of what this model is. --> |
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| | This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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| | ### Model Sources [optional] |
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| | ## Uses |
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| | ### Direct Use |
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| | ### Downstream Use [optional] |
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| | ### Out-of-Scope Use |
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| | ## Bias, Risks, and Limitations |
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| | ### Recommendations |
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| | Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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| | ## How to Get Started with the Model |
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| | Use the code below to get started with the model. |
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| | ## Training Details |
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| | ### Training Data |
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| | ### Training Procedure |
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| | #### Preprocessing [optional] |
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| | #### Training Hyperparameters |
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| | - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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| | ## Evaluation |
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| | ### Testing Data, Factors & Metrics |
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| | #### Testing Data |
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| | #### Factors |
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| | #### Metrics |
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| | ### Results |
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| | #### Summary |
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| | ## Model Examination [optional] |
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| | ## Environmental Impact |
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| | Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| | ## Technical Specifications [optional] |
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| | ### Model Architecture and Objective |
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| | ## Citation [optional] |
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| | ## Glossary [optional] |
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